Multi-Objective artificial bee colony optimized hybrid deep belief network and XGBoost algorithm for heart disease prediction

The global rise in heart disease necessitates precise prediction tools to assess individual risk levels. This paper introduces a novel Multi-Objective Artificial Bee Colony Optimized Hybrid Deep Belief Network and XGBoost (HDBN-XG) algorithm, enhancing coronary heart disease prediction accuracy. Key...

Descripción completa

Detalles Bibliográficos
Autores principales: Kalita, Kanak, Ganesh, Narayanan, Jayalakshmi, Sambandam, Chohan, Jasgurpreet Singh, Mallik, Saurav, Qin, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687430/
https://www.ncbi.nlm.nih.gov/pubmed/38034907
http://dx.doi.org/10.3389/fdgth.2023.1279644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10687430/
https://www.ncbi.nlm.nih.gov/pubmed/38034907
http://dx.doi.org/10.3389/fdgth.2023.1279644

Ejemplares similares